Python_Natural_Language_Processing and nlp-tutorial

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 201
Forks: 177
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 275
Forks: 147
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Python_Natural_Language_Processing

milaan9/Python_Natural_Language_Processing

This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

This is a guide for anyone who wants to learn how to process and analyze text data using Python. It helps you take raw text — like customer reviews, articles, or social media posts — and transform it into structured information that can be used for further analysis or machine learning. This guide is for data scientists, analysts, researchers, or anyone interested in extracting insights from large volumes of text.

text-analysis data-science-education text-mining data-preprocessing machine-learning-features

About nlp-tutorial

bonzanini/nlp-tutorial

Tutorial: Natural Language Processing in Python

This workshop material helps anyone interested in understanding how computers can process and analyze human language. It takes text data as input and teaches you methods to extract meaning, categorize documents, or identify key information using Python. Researchers, students, developers, or hobbyists can use these tutorials to gain practical skills in Natural Language Processing.

text-analysis language-understanding data-science-education computational-linguistics

Scores updated daily from GitHub, PyPI, and npm data. How scores work